Renku: a platform for collaborative, reusable and reproducible research

The Renku platform developed at the Swiss Data Science Center integrates state-of-the-art data science and open source software tools to enable collaborative, reproducible and reusable data science. Data, code, workflows and computational environments in every project are versioned from the start, allowing researchers to focus on their task of discovery rather than worrying about preserving their work. In addition, Renku provides a hosted solution for running those computational environments, which allows researchers to share their fully reproducible work instantly with others. Renku treats all aspects of the data analysis process (code, data, workflows) as nodes in an indexed, searchable Knowledge Graph, meaning that datasets, algorithms or full workflows can be discovered, shared and reused. In this talk we will describe how Renku lowers the bar for researchers to participate in open-science and provides scientific communities with tools to gain a deeper understanding of pathways of discovery within their disciplines.